| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152 | require 'pl'local __FILE__ = (function() return string.gsub(debug.getinfo(2, 'S').source, "^@", "") end)()package.path = path.join(path.dirname(__FILE__), "..", "lib", "?.lua;") .. package.pathrequire 'os'require 'w2nn'local srcnn = require 'srcnn'local function find_aux(seq)   for k = 1, #seq.modules do      local mod = seq.modules[k]      local name = torch.typename(mod)      if name == "nn.Sequential" or name == "nn.ConcatTable" then	 local aux = find_aux(mod)	 if aux ~= nil then	    return aux	 end      elseif name == "w2nn.AuxiliaryLossTable" then	 return mod      end   end   return nilendlocal cmd = torch.CmdLine()cmd:text()cmd:text("switch the output pass of auxiliary loss")cmd:text("Options:")cmd:option("-j", 1, 'Specify the output path index (1|2)')cmd:option("-i", "", 'Specify the input model')cmd:option("-o", "", 'Specify the output model')cmd:option("-iformat", "ascii", 'Specify the input format (ascii|binary)')cmd:option("-oformat", "ascii", 'Specify the output format (ascii|binary)')local opt = cmd:parse(arg)if not path.isfile(opt.i) then   cmd:help()   os.exit(-1)endlocal model = torch.load(opt.i, opt.iformat)if model == nil then   print("load error")   os.exit(-1)endlocal aux = find_aux(model)if aux == nil then   print("AuxiliaryLossTable not found")else   print(aux)   aux.i = opt.j   torch.save(opt.o, model, opt.oformat)end
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